Nonlinear predictive control of a molten carbonate fuel cell stack
Abstract
Operating temperature of a molten carbonate fuel cell stack should be controlled within a special range in order to improve the performance of fuel cell. In this paper, a nonlinear predictive control algorithm based on the Takagi-Sugeno fuzzy model is developed for the temperature of a molten carbonate fuel cell stack. Through predicting the outputs on a Takagi-Sugeno fuzzy model, a discrete optimization of the control action is adopted according to the principle of branch-and-bound method. The simulation results show the potential to introduce the predictive control based on Takagi-Sugeno fuzzy model for the development of fuel cells.
- Publication:
-
Journal of Power Sources
- Pub Date:
- 2008
- DOI:
- 10.1016/j.jpowsour.2008.04.080
- Bibcode:
- 2008JPS...183..253Y
- Keywords:
-
- Molten carbonate fuel cell (MCFC);
- Nonlinear predictive control;
- Operating temperature;
- Takagi-Sugeno fuzzy model;
- Optimal control sequences;
- Discrete space